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A Fuzzy Set Theory Based Method to Discover Transmissions in Wireless Personal Area Networks
Responsible organisation
2006 (English)Conference paper, (Refereed) Published
Abstract [en]

The complexity within a Wireless Personal Area Network (WPAN) increases. Several technologies have to share the same radio spectrum. In this paper we take a look at the 2.4 GHz Industrial Scientific and Medical (ISM)-band. This paper discusses a method of selecting the best wireless channel within Wireless Local Area Network (WLAN) when several technologies could be used in the same WPAN range of the needed access point. The issue is to keep away from already occupied channels. The method is divided into four steps: the passive probing of the power level detecting IEEE 802.15.4 (ZigBee) channels using a new and affordable hardware, the transformation of the probed data to a linguistic level using Fuzzy Set Theory (FST), the classification of the data, and finally the sorting and selection of channels based on whose power levels.

Place, publisher, year, edition, pages
Bucharest: IEEE Computer Society , 2006.
National Category
Telecommunications
Identifiers
URN: urn:nbn:se:bth-9525Local ID: oai:bth.se:forskinfoCEC8890D71CCEF5DC125719C0028BD92ISBN: 0-7695-2629-2 (print)OAI: oai:DiVA.org:bth-9525DiVA: diva2:837396
Conference
2006-07-29
Available from: 2012-09-18 Created: 2006-06-29 Last updated: 2016-09-20Bibliographically approved

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Fiedler, MarkusRakus-Andersson, Elisabeth
Telecommunications

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CiteExportLink to record
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Cite
Citation style
  • apa
  • harvard1
  • ieee
  • modern-language-association-8th-edition
  • vancouver
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Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
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  • Other locale
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Output format
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